feat: add agentic video analysis and clarify action results

Report device actions as dispatched and preserve full failure details. Route
Flash through McpActionExecutor and use ToolFailure across helper tools and
agent loops instead of inferring failure from response text.

Require model-provided descriptions for coordinate targets. Keep observed
element metadata separate from those descriptions in safety checks, visual
summaries, history, and frontend labels.

Add Gemini Interactions API video analysis with configurable processing mode,
chunk size, and timeouts. Centralize Google provider capabilities and token
usage normalization, and update google-genai to 2.22.0.

Preserve system instructions on follow-up interactions, replan pending chunks
when falling back to static processing, and reject unanswered native video
and audio segments instead of caching placeholder results. Keep helper-tool
failure status intact through history tools and committee calls.

Validation: 1,762 Python unit tests passed (3 skipped), 40 frontend formatter
tests passed, and the production UI build completed. Ruff lint, formatting,
the quality ratchet, and git diff checks passed.

artemis/tools/log_tool.py

@@ -19,6 +19,7 @@ from typing import Any
 from langchain_core.tools import BaseTool
 from pydantic import BaseModel, Field
 
+from artemis.core.tool_failure import ToolFailure
 from artemis.agents.log_analyzer.log_analyzer import LogAnalyzerNode
 from artemis.context import ArtemisContext
 from artemis.data_engine.trace import trace_langchain_tool
@@ -83,7 +84,7 @@ class AnalyzeLogsTool(ArtemisTool):
         st = state if state is not None else kwargs.get("state")
         logger.info(f"analyze_logs tool called with query: '{query}'")
         if ctx is None:
-            return "Error: ArtemisContext is required for LogAnalyzer."
+            return ToolFailure("Error: ArtemisContext is required for LogAnalyzer.")
         analyst = LogAnalyzerNode(ctx)
         result = await analyst.run(query, st)
         return result